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How to enable noise cancellation in one plus buds? 

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In this paper a novel method for cancellation of broadband/narrowband noise from speech signals is proposed.
With a dominant noise source present and with the pilot wearing an oxygen facemask, we demonstrate that good (>10 dB) cancellation of the additive noise and little speech distortion can be achieved by having the reference microphone attached to the outside of the facemask and by updating the filter coefficients only during silence intervals.
Simulation results have been conducted to show that the integrated approach can remove the disturbing noise and, at the same time, allow the desired speech or audio signal to pass through without cancellation.
With finite-precision effects, measured test results show that common-mode noise cancellation in the order of 15-20 dB is achievable.
The outcomes from extensive experimentations show that the proposed PSO based acoustic noise cancellation method provides high performance in terms of SNR improvements with a satisfactory convergence rate in comparison to that obtained by some of the state-of-the-art methods.
Unlike many existing methodologies, our approach provides for the exact volumetric cancellation of unwanted noise in a given predetermined region of space while leaving unaltered those components of the total acoustic field that are deemed friendly.
The system based on the use of source audio signals for secondary path estimation is found to yield the largest cancellation of external noise while producing the least amplitude of control inputs that cancel desired audio signals.
This approach is new in impulse noise cancellation in multi-carrier transmission.
The volumetric noise cancellation offered by the proposed methodology along with leaving the wanted sound unchanged is a unique feature compared to other techniques available in the literature.
Proceedings ArticleDOI
Woon-Seng Gan, S.M. Kuo 
25 May 2003
17 Citations
This integrated approach minimizes the required signal processing components, and optimizes the functionality of each processing block for combining noise cancellation tasks in the communication headsets.
The analysis and results on proposed technique for noise cancellation shows promising performance.
This approach is new in impulse noise cancellation in multicarrier transmission.
Such a system can degrade both the audio playback and the noise cancellation performance.
The results of simulation show the ability of these networks in noise cancellation.
Simulation results show promising improvement in noise cancellation even under very low and varied SNR and noise source conditions.
Compared with the existing designs, the proposed work achieves higher noise cancellation performance in terms of 3 dB further and saves 97% power consumption.
It is shown that the performance of the new procedure for noise cancellation for multi-sensory signals is improved when compared to previously proposed methods.